🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Step by step explanation/tutorial of llama2.c

Search for words, documents, images, videos, news, maps and text translation using the DuckDuckGo.com search engine. Downloading files and images to a local hard drive.

The Art of Debugging

Machine Learning Engineering Open Book

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

course.fast.ai 2022 part 2

The fast.ai course notebooks

A collection of design patterns/idioms in Python

A repository of data4good resources

A deep learning library for video understanding research.

Documentation Sprint for the fastai deep learning library

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Example notebooks of tslab (https://github.com/yunabe/tslab)

IceData: Datasets Hub for the *IceVision* Framework

Stuff I find (see issues)

AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.

A Jupyter extensions that turns notebooks into web applications.

Some experiments with object detection in PyTorch

scripts for installing openvino and exporting networks from fast.ai

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…

Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015

The fastai deep learning library

Build your neural network easy and fast, 莫烦Python中文教学

My implementation of Decision Tree ID3 algorithm for all categorical attributes.